2022
Structure Preserving Neural Networks: A Case Study in the Entropy Closure of the Boltzmann Equation
ICML 2022spotlight
In this paper, we explore applications of deep learning in statistical physics. We choose the Boltzmann equation as a typical example, where neural networks serve as a closure to its moment system. We present two types of neural networks to embed the convexity of entropy and to preserve the minimum…